Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
"Shift Left" has become an ever-present meme amongst DevOps and the security folk concerned about or working with DevOps. To "shift left" means to attend to something as early in development as possible, based on the assumption of left-to-right mapping of development activities.
Whether the activity is design, testing, or even operational activities, timeliness provides benefit. Obviously, the earlier we attend to security fixes, or really, any issues, the better.
Much data has been assembled about the benefits of finding and fixing bugs as early as possible; there should be little controversy about the efficacy of "shifting fixes left." At the heart of "shift left" is preparedness, planning, and appropriate timing of activities, all of which are signs of a mature development process. And, to my mind, these values are part of the DevOps revolution as teams break down artificial role boundaries and convert operational tasks into code.
Secure design's place has been at the "right side" of development, that is, early in the process, before designs are baked and it becomes too late to build security needs as a part of building software. Numerous Secure Development Life cycles (SDL or S-SDLC) and security standards explicitly place tasks like architecture risk assessment (ARA) and threat modeling early during development. This is not new: one of the first standards describing early security requirements is NIST 800-14, published in 1996! Though many organizations still struggle to identify security requirements early enough, there should be little doubt about the need to start designing security early in a development process. Importantly for this discussion, these critical design activities have typically been seen as right-side (early) only, or worse, single, point-in-time activities.
Experience, especially with iterative development approaches, has taught me that seeing design as only right-side (beginning), or worse, a point-in-time task is a mistake, as equally destructive as late-cycle security tests, or worse, identifying security needs after software has been built.
Once we start thinking iteratively, it becomes clear that point-in-time SDL tasks are more likely to gum up the works, to become an impediment because security isn't matching the way that software is built. Often, several development tasks are taking place in parallel. Among these will be:
■ Refine architecture
■ Specify design
■ Draft code
■ Test
■ Release software
■ Ongoing sustainment and operations
The above activities quite often all occur simultaneously. Each activity has particular security responsibilities which are best executed as a part of that portion of the work. Threat models must be refined as architecture is solidified; security requirements must be specified as part of designs; code is best checked for security errors as it's drafted; obviously, security is something that must be proved right along with everything else that's been implemented.
In fact, in my humble experience, allowing threat models to iterate leaves room for security requirements to improve just like the code is expected to improve through iterative development methods like Agile.
We might say, "shift secure design right," in comparison to "shift security left." But that doesn't really capture the spirit of iteration, continuous delivery, or DevOps, to my thinking.
Would it be more precise to say, "continuous security"? Thinking about security as a continuous process fits well with Continuous Integration/Continuous Delivery (CI/CD) and Agile models. Though, perhaps "continuous security" is less meme-worthy?
Let me at least point out the trouble that point-in-time threat models generate, particularly in the context of rapid or continuous development strategies. Too often, point-in-time security requirements that are never adjusted for subsequent learnings and changes result in requirements that have not, cannot, will never be implemented as specified. That's a loss for everyone involved.
If you prefer to say "shift left," then by all means, let secure design tasks "shift right" as well. I think of SDL security tasks as "continuous":
■ Give developers the tools they need to check code for coding mistakes.
■ Threat model throughout structure and design changes.
■ Have penetration testing prove security requirements and assumptions, enabling an organic feedback to revise requirements and assumptions.
Above all else, break down artificial role barriers that slow us down and obscure shared responsibilities.
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.